EDGE AI FOUNDATION
MemryX has redefined Edge AI with a revolutionary compute-in-memory dataflow architecture and robust software toolkit. Learn how this innovative approach delivers better than GPU-level performance in a low-cost, scalable platform tailored for Edge applications. With MemryX’s intuitive SDK, developers can easily port and optimize existing AI models, unlocking efficiency and performance for virtually any Edge AI challenge.
AI is not just another workload, it breaks the assumptions underlying classic compute. Moving data back and forth between memory and ALUs burns power faster than edge devices can supply. This podcast unpacks why low-power AI requires an entirely new silicon paradigm and how reengineering compute around data locality, in-memory operations, and an analog hybrid architecture unlocks intelligence everywhere.
Join co-hosts Pete Bernard and Ed Doran for an electrifying celebration of MLSYSBOOK.AI hitting 10,000 stars!
Professor Vijay Janapa Reddi is our special guest for this milestone event featuring 2025’s breakthrough achievements in TinyML4D education, global workshops, and hands-on learning kits.
Discover what’s next: the revolutionary Tiny Torch launch, ambitious plans to reach 1 million learners worldwide, and exciting 2026 kit developments.
We’ll also dig into the new Edge AI Fundamentals Certification Badge program!
Cap it off with an exclusive AMA with Professor Reddi, diving into potential learner certifications and more. Whether you’re an edge AI enthusiast, educator, or practitioner, this celebration promises inspiring insights into democratizing edge AI education globally!
The Edge AI Revolution is Here
The cloud’s dominance is being challenged—and the Generative Edge AI community is leading the charge.
Across three groundbreaking EDGE AI FOUNDATION forums, we’ve witnessed a seismic shift: the cloud must evolve beyond its role as a centralized AI powerhouse. After years of fixed-function AI investments at the edge, a new era of practical innovation is exploding into the gap—and it’s happening faster than anyone predicted.
Tune in to hear these breakthrough thought leaders:
The cloud’s dominance is being challenged—and the Generative Edge AI community is leading the charge.
Across three groundbreaking EDGE AI FOUNDATION forums, we’ve witnessed a seismic shift: the cloud must evolve beyond its role as a centralized AI powerhouse. After years of fixed-function AI investments at the edge, a new era of practical innovation is exploding into the gap—and it’s happening faster than anyone predicted.
Tune in to hear these breakthrough thought leaders:
Day 2 — Sensing, Applications & Platforms (8:00–12:10 PT)
08:00–08:05 Welcome (organizers)
08:05–08:20 Fireside chat – Generative Edge AI in Automotive – Marin Kellner (McKinsey) / Pete Bernard (EDGE AI FOUNDATION)
Session 4 — Sensing, Interaction & Health
08:20–08:40 Michele Magno (ETH Zurich) — GenAI at the Edge: Wearables→AVs
08:40–09:00 Xiaofeng Tan (Pison) — Multimodal Hand Gesture Modeling
09:00–09:20 Ritik Shrivastava (Brainchip) — aTENNUate: Real-Time Audio Denoising
09:20–09:40 Luigi Occhipinti (Cambridge) — Artificial Sensor Intelligence & Health
09:40–10:00 Giovanni Scapellato (STMicroelectronics) — GenAI for Biosensors/Cardio
Session 5 — Endpoints, Industrial & Ecosystems
10:05–10:25 Davis Sawyer (NXP) — Industrial Edge: Old Meets New
10:25–10:45 Henrik Flodell (Alif Semiconductor) — GenAI at the Edge for Endpoints
10:45–11:05 David Cuartielles (Arduino) — Proposal of workflow and software architecture for the development of complex EdgeAI applications
11:05–11:25 Zechun Liu (META) — Advancing Large Language Models in Resource-Constrained Environments
11:25-11:45 Roberto Morabito (EURECOM) — Four Forums Later: How Generative AI at the Edge Has Evolved and Keeps Evolving
11:45–11:55 Closing (organizers)
This is the future of AI—decentralized, efficient, and unstoppable. The question isn’t whether to tune in. It’s whether you can afford to miss it.
This is the future of AI—decentralized, efficient, and unstoppable. The question isn’t whether to tune in. It’s whether you can afford to miss it.
The Edge AI Revolution is Here
The cloud’s dominance is being challenged—and the Generative Edge AI community is leading the charge.
Across three groundbreaking EDGE AI FOUNDATION forums, we’ve witnessed a seismic shift: the cloud must evolve beyond its role as a centralized AI powerhouse. After years of fixed-function AI investments at the edge, a new era of practical innovation is exploding into the gap—and it’s happening faster than anyone predicted.
Tune in to hear these breakthrough thought leaders:
Day 1 — Agentic Systems, Optimization & Toolchains
08:00–08:05 Welcome (organizers)
08:05–08:20 Fireside chat – Generative Edge AI in Industry – Rob Tiffany (IDC) / Pete Bernard (EDGE AI FOUNDATION)
Session 1 — Optimization & Co-Design for Efficient Edge GenAI
08:20–08:40 Thomas Ziereis (Roofline AI) — Compiling & Running SLMs on Edge
08:40–09:00 José Cano (University of Glasgow) — Accelerating LLMs at the Edge (HW–SW Co-Design)
09:00–09:20 Tinoosh Mohsenin (John Hopkins University) — E2EdgeGenAI
09:20–09:40 Andrea Basso (MITO Technology) — Small LMs on Resource-Constrained Platforms
Session 2 — Agentic & Distributed Edge Systems
09:45–10:05 SiYoung Jang (Nokia Bell Labs) — Distributed SLM-based Agentic AI for the Edge
10:05–10:25 Marcus Rueb (EnBW) — Agent Systems on the Edge 10:35–10:55 Pratik Sharda (CraftifAI) — Agentic AI in Action
1025-10:45 Pratik Sharda (CraftifAI) — Agentic AI in Action
Session 3 — Foundations & Toolchains
10:50–11:10 Mathias Lechner (LiquidAI) — LFM2: Designing the next-generation foundation model architecture for edge AI
11:10–11:30 Parmeet Kohli (Qualcomm) — Backbone Toolchains for GenAI 11:40–12:05
11:30–11:50 Ashutosh Kumar (Intel) — Edge AI Suites
11:50–12:10 IBM
12:10–12:15 Closing (organizers)
This is the future of AI—decentralized, efficient, and unstoppable. The question isn’t whether to tune in. It’s whether you can afford to miss it.
Edge AI technology is transforming energy infrastructure management. Brandon Kanter, systems manager for EV charging and smart meters at Texas Instruments, will dive into how edge computing can enhance systems through intelligent monitoring, optimization and predictive capabilities. We’ll examine current implementations, future trends and how TI’s portfolio can address the unique challenges of energy infrastructure applications. From smart grids to real-time monitoring in circuit breakers, learn how TI’s MCUs with integrated neural processing units (NPU) are enabling more efficient, secure and sustainable energy systems.
The Edge AI Revolution is Here
The cloud’s dominance is being challenged—and the Generative Edge AI community is leading the charge.
Across three groundbreaking EDGE AI FOUNDATION forums, we’ve witnessed a seismic shift: the cloud must evolve beyond its role as a centralized AI powerhouse. After years of fixed-function AI investments at the edge, a new era of practical innovation is exploding into the gap—and it’s happening faster than anyone predicted.
What We’ve Proven
Forum Three revealed the game-changer: Power-efficient hardware now deploys generative AI directly at the edge, supported by robust on-premises solutions. This isn’t incremental progress—it’s liberation.
What’s Next
Forum Four raises the stakes even higher. We’re convening the brightest minds to unveil:
– Next-generation algorithms operating at both generative and reasoning levels
– Revolutionary power-efficient hardware that brings AI within arm’s reach of users
– Open development suites democratizing innovation
Transformative applications leveraging distributed agentic architectures
– Near-zero latency connectivity making real-time intelligence truly real-time
Tune in to hear these breakthrough thought leaders:
Day 1 — Agentic Systems, Optimization & Toolchains (8:00–12:10 PT)
08:00–08:05 Welcome (organizers)
08:05–08:20 Fireside chat – Generative Edge AI in Industry – Jennifer Cooke (IDC) / Pete Bernard (EDGE AI FOUNDATION)
Session 1 — Optimization & Co-Design for Efficient Edge GenAI
08:20–08:45 Thomas Ziereis (Roofline AI) — Compiling & Running SLMs on Edge
08:45–09:10 José Cano (University of Glasgow) — Accelerating LLMs at the Edge (HW–SW Co-Design)
09:10–09:30 Tinoosh Mohsenin (John Hopkins University) — E2EdgeGenAI
09:30–09:50 Andrea Basso (MITO Technology) — Small LMs on Resource-Constrained Platforms
Session 2 — Agentic & Distributed Edge Systems
09:50–10:15 SiYoung Jang (Nokia Bell Labs) — Distributed SLM-based Agentic AI for the Edge
10:15–10:35 Marcus Rueb (EnBW) — Agent Systems on the Edge 10:35–10:55 Pratik Sharda (CraftifAI) — Agentic AI in Action
Session 3 — Foundations & Toolchains
10:55–11:15 Mathias Lechner (LiquidAI) — LFM2: Designing the next-generation foundation model architecture for edge AI
11:15–11:40 Parmeet Kohli (Qualcomm) — Backbone Toolchains for GenAI 11:40–12:05 Ashutosh Kumar (Intel) — Edge AI Suites
12:05–12:10 Closing (organizers)
This is the future of AI—decentralized, efficient, and unstoppable. The question isn’t whether to tune in. It’s whether you can afford to miss it.
The Edge AI Revolution is Here
The cloud’s dominance is being challenged—and the Generative Edge AI community is leading the charge.
Across three groundbreaking EDGE AI FOUNDATION forums, we’ve witnessed a seismic shift: the cloud must evolve beyond its role as a centralized AI powerhouse. After years of fixed-function AI investments at the edge, a new era of practical innovation is exploding into the gap—and it’s happening faster than anyone predicted.
What We’ve Proven
Forum Three revealed the game-changer: Power-efficient hardware now deploys generative AI directly at the edge, supported by robust on-premises solutions. This isn’t incremental progress—it’s liberation.
What’s Next
Forum Four raises the stakes even higher. We’re convening the brightest minds to unveil:
– Next-generation algorithms operating at both generative and reasoning levels
– Revolutionary power-efficient hardware that brings AI within arm’s reach of users
– Open development suites democratizing innovation
Transformative applications leveraging distributed agentic architectures
– Near-zero latency connectivity making real-time intelligence truly real-time
Tune in to hear these breakthrough thought leaders:
Day 2 — Sensing, Applications & Platforms (8:00–12:10 PT)
08:00–08:05 Welcome (organizers)
08:05–08:20 Fireside chat – Generative Edge AI in Automotive – Martin Kellner (McKinsey) / Pete Bernard (EDGE AI FOUNDATION)
Session 4 — Sensing, Interaction & Health
08:20–08:45 Michele Magno (ETH Zurich) — GenAI at the Edge: Wearables→AVs
08:45–09:05 Xiaofeng Tan (Pison) — GenAI’s Role in Creating Robust Gesture Models
09:05–09:25 Ritik Shrivastava (Brainchip) — Efficient Generative AI Models on Edge Utilizing State Space Models
09:25–09:50 Luigi Occhipinti (Cambridge) — Artificial Sensor Intelligence & Health
09:50–10:15 Giovanni Scapellato (STMicroelectronics) — GenAI for Biosensors/Cardio
Session 5 — Endpoints, Industrial & Ecosystems
10:15–10:40 Davis Sawyer (NXP) — Industrial Edge: Old Meets New
10:40–11:00 Henrik Flodell (Alif Semiconductor) — GenAI at the Edge for Endpoints
11–11:25 David Cuartielles (Arduino) — Proposal of workflow and software architecture for the development of complex EdgeAI applications
11:25–11:45 Zechun Liu (META) — Advancing Large Language Models in Resource-Constrained Environments
11:45–12:00 Closing (organizers)
This is the future of AI—decentralized, efficient, and unstoppable. The question isn’t whether to tune in. It’s whether you can afford to miss it.
VillageOS™ machine learning software for the generative design and autonomous operation of climate resilient and self-sustainable housing developments around the world.